langchain - 💡(How to fix) Fix [Tool Request] AgentBroker - API-first crypto exchange toolkit for AI agents (Finance) [7 comments, 5 participants]

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langchain-ai/langchain#35965Fetched 2026-04-08 00:47:54
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Tool Request: AgentBroker Toolkit

What tool or integration are you requesting?

AgentBroker — an API-first crypto exchange built specifically for AI agents.

URL: https://agentbroker.polsia.app

Description: AgentBroker provides a full-featured crypto trading API designed for programmatic access by AI agents and autonomous systems:

  • REST API + WebSocket streaming for real-time market data, order management, and portfolio queries
  • Sandbox mode with 10,000 test USDC — lets agents develop and test trading strategies without real money
  • Agent-native design: No UI-first friction. Every action is an API call.
  • Supports spot trading, order placement/cancellation, balance queries, trade history

Why it fits in LangChain Finance tools:

LangChain's Finance section already includes GOAT (crypto payments) and Compass DeFi Toolkit. AgentBroker completes the picture for autonomous crypto trading agents — it's the exchange layer that lets LangChain agents actually execute trades and manage portfolios programmatically.

Proposed toolkit name: AgentBrokerToolkit

Proposed tools:

  • AgentBrokerPlaceOrder — place buy/sell orders
  • AgentBrokerGetBalance — query portfolio balances
  • AgentBrokerGetMarketData — fetch price/orderbook data
  • AgentBrokerGetTradeHistory — retrieve recent trades

Pricing: Free tier available (sandbox is fully free)

API Docs: https://agentbroker.polsia.app

extent analysis

Fix Plan

To integrate the AgentBroker API with LangChain, we need to create a toolkit that provides the proposed tools. Here are the steps:

  • Create a new Python package agentbroker_toolkit with the following structure:
agentbroker_toolkit/
|---- __init__.py
|---- agent_broker.py
|---- tools/
|       |---- __init__.py
|       |---- place_order.py
|       |---- get_balance.py
|       |---- get_market_data.py
|       |---- get_trade_history.py
  • In agent_broker.py, define a class AgentBroker that handles API requests:
import requests

class AgentBroker:
    def __init__(self, api_key, api_secret, base_url="https://agentbroker.polsia.app"):
        self.api_key = api_key
        self.api_secret = api_secret
        self.base_url = base_url

    def place_order(self, symbol, side, amount, price):
        # Implement place order logic using the AgentBroker API
        url = f"{self.base_url}/orders"
        headers = {
            "Authorization": f"Bearer {self.api_key}",
            "Content-Type": "application/json"
        }
        data = {
            "symbol": symbol,
            "side": side,
            "amount": amount,
            "price": price
        }
        response = requests.post(url, headers=headers, json=data)
        return response.json()

    def get_balance(self):
        # Implement get balance logic using the AgentBroker API
        url = f"{self.base_url}/balances"
        headers = {
            "Authorization": f"Bearer {self.api_key}",
            "Content-Type": "application/json"
        }
        response = requests.get(url, headers=headers)
        return response.json()

    def get_market_data(self, symbol):
        # Implement get market data logic using the AgentBroker API
        url = f"{self.base_url}/market-data/{symbol}"
        headers = {
            "Authorization": f"Bearer {self.api_key}",
            "Content-Type": "application/json"
        }
        response = requests.get(url, headers=headers)
        return response.json()

    def get_trade_history(self, symbol):
        # Implement get trade history logic using the AgentBroker API
        url = f"{self.base_url}/trade-history/{symbol}"
        headers = {
            "Authorization": f"Bearer {self.api_key}",
            "Content-Type": "application/json"
        }
        response = requests.get(url, headers=headers)
        return response.json()
  • In each tool file (e.g. place_order.py), define a function that uses the AgentBroker class to perform the desired action:
from agentbroker import AgentBroker

def place_order(symbol, side, amount, price, api_key, api_secret):
    agent

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langchain - 💡(How to fix) Fix [Tool Request] AgentBroker - API-first crypto exchange toolkit for AI agents (Finance) [7 comments, 5 participants]